Temperature, Relative Humidity, and Carbon Dioxide Data Science Analysis for a Highrise Office Building

Abstract

The goal of occupational health and safety (OHS) is to safeguard the health and safety of employees by preventing workplace diseases and accidents. An OHS used parameters, some of which could be captured via sensors, and it became a significant concern in social sustainability. These variables include things like temperature, noise level, and air quality. This research aims to perform data science analysis on the temperature, relative humidity, and carbon dioxide levels. Tried to read and comprehend the sensor data and learn the trends based on actual and typical data. This research used a quantitative approach to collect preliminary information via sensor observations and descriptive measures. Secondary data were used as a source of information during the literature review to support this research. Three office environment data were successfully captured and analyzed. Room temperature decreased during office hours and office days, but on average, it was still acceptable for a day or a month of data. Relative humidity was found in 64.24% for both sample and population data. Also, for carbon dioxide, it was found an average of 580.29 ± 132.53 ppm